Higheredunity Conhigheredunity.com ✰

┌───────────────────────────────┐ │ Front‑End (React + TypeScript) │ │ - Pathway Canvas (React‑Flow) │ │ - AI Prompt UI │ │ - Export/Share Module │ └─────────────▲─────────────────┘ │ │ GraphQL over HTTPS ▼ ┌───────────────────────────────┐ │ API Gateway (NestJS) │ │ - Auth (OAuth2/SAML) │ │ - Rate limiting, caching │ └─────────────▲─────────────────┘ │ ┌──────────┼─────────────┐ │ │ │ ▼ ▼ ▼ ┌─────────┐ ┌───────────┐ ┌─────────────┐ │ Curric‑ │ │ AI Engine │ │ Risk Service│ │ ulation │ │ (LangChain│ │ (Python) │ │ DB │ │ + LLM) │ │ │ │ (PG) │ └───────────┘ └──────▲──────┘ └────▲────┘ │ │ Real‑time data sync │ │ (SIS ⇄ SIS API) │ ▼ │ ┌─────────────────────┐ ┌─────┴─────┐ │ SIS / LMS Connect │ │ Export S3│ │ (REST / GraphQL) │ │ (PDFKit)│ └─────────────────────┘ └───────────┘

: Acknowledging the "login fatigue" students face, the platform aims to consolidate various academic services into a single point of entry. higheredunity conhigheredunity.com

Here is a piece designed to resonate with that community, structured as a . Bridging the Gap: The Higher Ed Unity Approach | Module | Description | Key Tech |

A web‑based, interactive “career‑to‑course” planner that uses generative AI and the university’s curriculum data to help students (and counselors) map out personalized degree pathways, explore interdisciplinary programs, and forecast graduation timelines. | LangChain + OpenAI API (or Llama‑2) |

| Module | Description | Key Tech | |--------|-------------|----------| | | Central repository of courses, prerequisites, credit requirements, and program rules. Auto‑updates via API hooks to the SIS (Student Information System). | PostgreSQL + GraphQL | | AI Recommendation Engine | Uses OpenAI‑compatible LLM (or locally hosted model) to translate natural‑language goals (“I want a career in data science”) into a set of recommended courses, minors, and experiential learning opportunities. | LangChain + OpenAI API (or Llama‑2) | | Pathway Builder UI | Drag‑and‑drop visual canvas (Gantt‑style timeline) where users can add/remove courses, see prerequisite arrows, and view credit totals per term. | React + D3.js / VisX | | Risk & Forecasting | Predicts graduation date based on current plan, flags missing core requirements, and simulates “what‑if” scenarios (e.g., dropping a course, taking a summer term). | Python (Pandas, scikit‑learn) running as a micro‑service | | Integration Layer | Connects to SIS for real‑time enrollment caps, to the LMS for course availability, and to external partner catalogs via standardized JSON‑LD. | Node.js (NestJS) + OAuth2 / SAML | | Export & Share | Generates PDF/PNG snapshots, printable PDFs, and a shareable link (read‑only) that advisors can annotate. | PDFKit + AWS S3 (signed URLs) |